A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features

The elastic net is among the most widely used types of regularization algorithms, commonly associated with the problem of supervised generalized linear model estimation via penalized maximum likelihood. Its attractive properties, originated from a combination of <inline-formula><math xmlns="http://w...

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Auteurs principaux:	Juan Carlos Laria, Line H. Clemmensen, Bjarne K. Ersbøll, David Delgado-Gómez
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-08-01
Collection:	Mathematics
Sujets:	covariate shift elastic net semi-supervised classification semi-supervised regression unlabeled data
Accès en ligne:	https://www.mdpi.com/2227-7390/10/16/3001
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